v6.66.4

2026-05-27

What's Changed

New Features 🎉

• feat(mcp): add fields summary|full and rename nodeName→nodeID on get_workflow_node

• feat(mcp): add fields summary|full mode to get_run and cross-link sibling tools

• feat(mcp): add serviceAccount/entryPoint/labels/annotations on submit_workflow

• feat(mcp): tune cron tool descriptions and standardise on workflowName

• feat: Add AI assistant sidebar (BYOK + Pipekit MCP)

• feat(mcp): group get_run_logs output, add compact mode and truncationReason

Patches 🩹

• chore(mcp): tighten run-action descriptions; prep client for retry

• feat(mcp): emit CORS headers for browser callers

• fix(mcp): allow User-Agent in CORS preflight

Bug Fixes and Dependency Updates 🐞

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About Pipekit

Pipekit is the control plane for Argo Workflows. Platform teams use Pipekit to manage data & CI pipelines at scale, while giving developers self-serve access to Argo. Pipekit's unified logging view, Workflow Metrics dashboards, enterprise-grade RBAC and multi-cluster management capabilities lower maintenance costs for platform teams while delivering a superior devex for Argo users. Sign up for a 30-day free trial at pipekit.io/signup.